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Climate
Environmental Data Science Book

Using a robust data pipelining tool in R to build a reproducible hurricane data visualization with multi-agency water data

Authors
Affiliations
CUAHSI - Consortium of Universities for the Advancement of Hydrologic Science, Inc.
CUAHSI - Consortium of Universities for the Advancement of Hydrologic Science, Inc.
https://doi.org/10.5281/zenodo.17808328

Continuous integration badge Binder doi notebook review

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How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository

Running locally

You may also download the notebook from GitHub to run it locally:

  1. Open your terminal

  2. Check your conda install with conda --version. If you don’t have conda, install it by following these instructions (see here)

  3. Clone the repository

    git clone https://github.com/eds-book/2dd74dfa-d87d-442f-bea1-a19c8953f66e.git

  4. Move into the cloned repository

    cd 2dd74dfa-d87d-442f-bea1-a19c8953f66e

  5. Create and activate your environment from the environment.yml file

    conda env create -f environment.yml
conda activate 2dd74dfa-d87d-442f-bea1-a19c8953f66e
R --quiet -f install_local.R

  6. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

References
  1. Bogan, A., & Platt, L. (2025). Using a robust data pipelining tool in R to build a reproducible hurricane data visualization with multi-agency water data (Jupyter Notebook) published in the Environmental Data Science book. Zenodo. 10.5281/ZENODO.17808328
Reproducible hurricane data visualization using targets (CUAHSI)
Using a robust data pipelining tool in R to build a reproducible hurricane data visualization with multi-agency water data